Tool-and-Die Thinking for the AI Age
How AI coding tools helped me beat the overhead wall — and build faster than I think.
Just-in-Time Software
Just like cloud killed the server rack, AI is killing fixed tools. I built a full E2E test system from scratch—faster, cheaper, tailored—using nothing but schema, rules, and AI prompts. Why buy tools when you can generate them just-in-time?
Who Reviewed the Reviewer?
This post is about that realization. About what happens when AI becomes the default reviewer, and starts learning from its own reflections.
We’re not just debugging code anymore.
We’re debugging the system that teaches itself how to review.
Tokens Are Dev Hours. Waste Is a Feature, Not a Bug.
With AI development, waste isn’t hidden in team velocity or burndown charts — it’s itemized on your invoice. That’s not a flaw. It’s a feature.
The AI Engineer Has Joined the Team. Now What?
AI isn’t just accelerating software development — it’s reorganizing it. This post unpacks what changes when you start designing teams, tools, and processes around a human–AI hybrid model. Planning shifts. Costs shift. Roles shift. The real question is: are we ready to shift with it?
From Fear to Flow: How Building a Tournament Manager App Taught Me to Scale with AI
I didn’t start with a strategy. I started with fear. Here’s how a grassroots volleyball app turned into my personal AI bootcamp—and the repeatable framework I built along the way.
My AI Engineering Team
I didn’t set out to build an AI team. I just started with ChatGPT prompts for Lovable AI. Over time, it evolved into managing a layered squad of AI tools—architects, coders, and reviewers—working together like a real dev team. This changed how I work and lead AI-assisted projects.